ajout

app/model.py

@@ -28,7 +28,7 @@ logging.basicConfig(
     format="%(asctime)s [%(levelname)s] %(name)s: %(message)s"
 )
 logger = logging.getLogger(__name__)
-confidence_threshold=0.6
+confidence_threshold=0.5
 entropy_threshold=1.5
 
 class ModelStruct(TypedDict):
@@ -42,10 +42,10 @@ class ModelStruct(TypedDict):
 
 def load_models() -> list[ModelStruct]:
     model1 = tf.keras.models.load_model("model/best_EfficientNetV2M_03_improved_global_augment.keras",compile=False)
-    model1_for_gradcam=tf.keras.models.load_model("model/best_efficientnetv2m_gradcam.keras",compile=False)
+    model1_for_gradcam=model1
     
     model2 = tf.keras.models.load_model("model/best_ResNet50V2_04_improved_target_augment.keras",compile=False)
-    model2_for_gradcam=tf.keras.models.load_model("model/best_ResNet50V2_gradcam.keras",compile=False)
+    model2_for_gradcam=model2
 
     return [
     

model/best_ResNet50V2_gradcam.keras

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3a850596cb72e8801b067d256de18823f5740629f3e7f39e0911fdc4f8cdc2a1
+size 97195984

model/best_efficientnetv2m_gradcam.keras

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:303b262f1a720ec476e5521f0728843c90650dabbe0adfc7c7a5a33e6fd9e9d2
+size 216600984